@InProceedings{londhe-srihari:2017:RANLP,
  author    = {Londhe, Nikhil  and  Srihari, Rohini},
  title     = {Summarizing World Speak : A Preliminary Graph Based Approach},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {452--458},
  abstract  = {Social media platforms play a crucial role in piecing together global news
	stories via their corresponding online discussions.  Thus, in this work, we
	introduce the problem of automatically summarizing massively multilingual
	microblog text streams. We discuss the challenges involved in both generating
	summaries as well as evaluating them. We introduce a simple word graph based
	approach that utilizes node neighborhoods to identify keyphrases and thus in
	turn, pick summary candidates. We also demonstrate the effectiveness of our
	method in generating precise summaries as compared to other popular techniques.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_060}
}